Desarrollo de un software para la detección automática de tópicos en documentos textuales basada en taxonomía.

This paper proposes a method of using taxonomy hierarchy in automatic topic identification. The fundamental idea behind this work is to exploit an taxonomy hierarchical structure in order to find a topic of a text. The keywords that are extracted from a given text will be mapped onto their corresponding concepts in the taxonomy. The method pick a single node among the concepts nodes that it believe is the topic of the target text. Despite, a limited vocabulary our topic identification has a good detection rate. [ABSTRACT FROM AUTHOR]